 to finish up our entire course we're focusing now on this idea of taking our data analytics to that next level and as you can already sort of see the idea is data visualization and the entire reason why is because if we think about it just for half a second when we're dealing with something like a CSV file it is tons of numbers and they're just numbers upon numbers upon we get lost in what I like to call the sea of data and the entire idea is just we don't really see any trends or anything sticking out when we're looking at all of these numbers we as humans are visual creatures we can visually identify as something but you know when it starts to become just text we get a little you know difficult and that's the entire idea to why we look at something like data visualizations and this is where we've spent years trying to create different types of visualizations to justify or explain different types of behaviors when we think about something like a pie chart right we're trying to show a percentage going on so if I divide this literally down the middle we just can recognize oh this is half of that data and this is another half and if I were to draw another line we can all tell that oh that's now representing a fourth and this is representing a fourth as well maybe that's not what we're looking for sometimes we are looking for percentages sometimes we're not and that's where things like say for example bar charts line charts scatter plot diagrams all of these can sort of show us sort of an x y plane where there may be some form of a trend going on and so to at least start our discussion that's where I want to look at first the ideas behind sort of that two-dimensional plane and there is some terminology that comes with it most of this you know depending on your you know sophistication with charts you know this but just in case when we start to think about sort of that x y plane the cartesian plane or you know geometry just kind of called it you know x y plane something like that the entire idea is that we're working off of something known as an axis this is just to represent sort of the direction of data and so if we're going up you know we instinctively sort of represent that as numbers going up so maybe this is a zero and this is say 100 and so then we can kind of work from there same kind of concept if we were to expand this into a three-dimensional plane you know there would be something called a z-axis and we'd be using that one to represent depth now once again if we look at sort of that zero to 100 this is where we begin to introduce another term tick marks and the entire idea to a tick mark is just to help point out a particular location and what it represents so once again if we're thinking about that y-axis as starting at a zero and then going to 100 well this is where you know our brains can kind of infer what each one of those tick marks are meant to represent if that's zero well let me actually just to sort of mirror this let's say zero is down here at the very end we start at five oh let's see that's uh one two three four five six seven eight nine not the best let me just now that i'm thinking about let me start with 10 uh because then I could say oh well that's going to be inferred as a 20 a 30 a 40 a 50 60 70 80 and then a 90 simple as that then what we can do is if I just draw arbitrarily say right here oh well now we can utilize those tick marks to get a rough estimation without knowing the exact number so this is sort of right a little above the 90 and I'm not gonna draw a perfect line there but same kind of thing I drop that down and we can make a rough estimate that the x y plane for this is something like I don't know uh 27 at 91 and so again this is where those tick marks come into play the next aspect is something known as our labels the entire idea is again if I just had numerical values up here we don't know what these values are representing and so when we're starting to look at charts again if we're thinking about this from we're trying to represent data in some way if I just show you numbers you have no idea what that is sort of inclining so the label is meant to sort of represent in this case a particular term so in this case something like frequency maybe we're trying to measure out how often something appears so let's say for example this x axis for example I create a label something like temperature now all of a sudden oh we can sort of get an idea of what we're trying to represent when we show sort of any dots or lines or bars on this graph if I were to again draw some line say right about here or a dot right here we can infer that that's meaning that uh you know at temp the frequency of temp 15 degrees is let's see 10 oh that's 10 10 20 30 40 50 60 70 roughly it appears 70 times or 70 percent again that's where it depends on what we are talking about when we think about frequency